realpython · kennethreitz · Apr 25, 2012 · Apr 24, 2012
diff --git a/docs/writing/structure.rst b/docs/writing/structure.rst
@@ -57,8 +57,120 @@ include:
   task at hand, you might be swimming in ravioli code.
 
 
+Modules
+-------
+
+Python modules are one of the main abstraction layer available and probably the
+most natural one. Abstraction layers allow separating code into parts holding
+related data and functionalities.
+
+For example, a layer of a project can handle interfacing with user actions,
+while another would handle low-level manipulation of data. The most natural way
+to separate these two layers is to regroup all interfacing functionalities
+in one file, and all low-level operations in another file. In this case,
+the interface file need to import the low-level file. This is done with the
+`import` and `from ... import` statements.
+
+As soon as you use `import` statements you use modules, either builtin modules
+such as `os` and `sys`, or third-party modules you have installed in your
+environment, or project's internal modules.
+
+Nothing special is required for a Python file to be a module, but the import
+mechanism need to be understood in order to use this concept properly and avoid
+some issues.
+
+Concretely, the `import modu` statement will look for the proper file, which is
+`modu.py` in the same directory as the caller if it exists.  If it is not
+found, the Python interpreter with search for `modu.py` in the "path"
+recursively and raise an ImportError exception if it is not found.
+
+Once `modu.py` is found, the Python interpreter will execute the module in an
+isolated scope. Any top-level statement in `modu.py` will be executed,
+including other imports if any. Function and classes definitions are stored in
+the module's dictionary.
+
+Then modules variables, functions and classes will be available to the caller
+through the module's namespace, a central concept in programming that is
+particularly helpful and powerful in Python.
+
+In many languages, a `include file` directive is used by the preprocessor to
+take all code found in the file and 'copy' it in the caller's code. It is
+different in Python: the included code is isolated in a module namespace, which
+means that you generally don't have to worry that the included code could have
+unwanted effect, eg override an existing function with the same name.
+
+It is possible to simulate the more standard behavior by using a special syntax
+of the import statement: `from modu import *`. This is generally considered bad
+practice, **using import * makes code harder to read and dependencies less
+compartimented**.
+
+Using `from modu import func` is a way to pinpoint the function you want to
+import and put it is the global namespace. While much less harmful than `import
+*` because it shows explicitely what is imported in the global namespace, it's
+advantage over a simpler `import modu` is only that it will save some typing.
+
+**Very bad**
+
+.. code-block:: python
+
+    [...]
+    from modu import *
+    [...]
+    x = sqrt(4)  # Is sqrt part of modu? A builtin? Defined above?
+
+**Better**
+
+.. code-block:: python
+
+    from modu import sqrt
+    [...]
+    x = sqrt(4)  # sqrt may be part of modu, if not redefined in between
+
+**Best**
+
+.. code-block:: python
+
+    import modu
+    [...]
+    x = modu.sqrt(4)  # sqrt is visibly part of modu's namespace
+
+As said in the section about style, readability is one of the main feature of
+Python. Readability means to avoid useless boilerplate text and clutter,
+therefore some efforts are spent trying to achieve a certain level of brevity.
+But terseness and obscurity are the limits where brevity should stop: being
+able to tell immediately from where comes a class or a function, as in the
+`modu.func` idiom, improves greatly code readability and understandability in
+most cases but the simplest single file projects.
+
+
+Packages --------
+
+Python provides a very straightforward packaging system, which is simply an
+extension of the module mechanism to a directory.
+
+Any directory with a __init__.py file is considered a Python package. The
+different modules in the package are imported in a similar manner as plain
+modules, will a special behavior for the __init__.py file, that is used to
+gather all package-wide definitions.
+
+A file modu.py in the directory pack/ is imported with the statement `import
+pack.modu`. This statement will look for a __init__.py file in `pack`, execute
+all its top-level statements. Then it will look for a file `pack/modu.py` and
+execute all its top-level statements. After these operations, any variable,
+function or class defined in modu.py is available in pack.modu namespace.
+
+A commonly seen issue is to add too many code and functions in __init__.py
+files. When the project complexity grows, there may be sub-packages and
+sub-sub-packages in a deep directory structure, and then, import a single item
+from a sub-sub-package will require to execute all __init__.py file met while
+descending the tree.
 
+Leaving a __init__.py file empty is considered normal and even a good pratice,
+if the package's modules and sub-packages do not need to share any code.
 
+Lastly, a convenient syntax is available for importing deeply nested packages:
+`import very.deep.module as mod` allow to use `mod` in place of the verbose
+repetition of `very.deep.module` in front of each calls to module items.
 
 Vendorizing Dependencies
 ------------------------